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ResearchFormerly WizWand

Image Classification on Real-world Seegene

99.22AccuracyMicroMIL
94.248895.539496.8398.1206Jul 31, 2024
Updated 8mo ago

Evaluation results

MethodLinks
MicroMILBackbone=ResNet-18, Feature Dimension=128, Clusters=362024.0799.2299.9499.25
TransMILBackbone=ResNet-18, Feature Dimension=1282024.0797.7898.7397.76
DTFD-MILBackbone=ResNet-18, Feature Dimension=1282024.0796.1199.0196.07
IBMILBackbone=ResNet-18, Feature Dimension=1282024.0796.1198.9496.06
ACMILBackbone=ResNet-18, Feature Dimension=1282024.0796.1198.9396.06
MS-DA-MILBackbone=ResNet-18, Feature Dimension=1282024.0795.5698.2995.14
CLAMBackbone=ResNet-18, Feature Dimension=1282024.0795.5698.7395.52
ABMILBackbone=ResNet-18, Feature Dimension=1282024.0794.4497.6494.33
DSMILBackbone=ResNet-18, Feature Dimension=1282024.0794.4498.2994.4